Enhanced Secured Map Reduce layer for Big Data privacy and security
نویسندگان
چکیده
منابع مشابه
Privacy and Security of Big Data in THE Cloud
Big data has been arising a growing interest in both scien- tific and industrial fields for its potential value. However, before employing big data technology into massive appli- cations, a basic but also principle topic should be investigated: security and privacy. One of the biggest concerns of big data is privacy. However, the study on big data privacy is still at a very early stage. Many or...
متن کاملPrivacy and Security of Big Data in THE Cloud
Big data has been arising a growing interest in both scien- tific and industrial fields for its potential value. However, before employing big data technology into massive appli- cations, a basic but also principle topic should be investigated: security and privacy. One of the biggest concerns of big data is privacy. However, the study on big data privacy is still at a very early stage. Many or...
متن کاملBig Data – Security with Privacy
This document provides a summary of the discussions on big data security and privacy at the NSF Workshop on this topic held at the University of Texas at Dallas on September 16 and 17, 2014. This document will continue to evolve over the next few months as we get feedback from the workshops participants and the final workshop report will be completed by February 2015. This document also include...
متن کاملAn Architecture for Security and Protection of Big Data
The issue of online privacy and security is a challenging subject, as it concerns the privacy of data that are increasingly more accessible via the internet. In other words, people who intend to access the private information of other users can do so more efficiently over the internet. This study is an attempt to address the privacy issue of distributed big data in the context of cloud computin...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Big Data
سال: 2019
ISSN: 2196-1115
DOI: 10.1186/s40537-019-0193-4